deberta-v3-large-finetuned-ner

ktgiahieu/deberta-v3-large-finetuned-ner

deberta-v3-large-finetuned-ner is a token classification model from ktgiahieu. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Apr 21, 2023
Updated: Apr 21, 2023
SHA: b1e4cd93

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Model card

From the Hugging Face model README

deberta-v3-large-finetuned-ner

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4130
Precision: 0.8219
Recall: 0.8955
F1: 0.8571
Accuracy: 0.9310

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	45	1.0375	0.4072	0.2743	0.3278	0.7192
No log	2.0	90	0.7673	0.4724	0.3914	0.4281	0.7522
No log	3.0	135	0.6973	0.4892	0.6637	0.5633	0.7757
No log	4.0	180	0.6645	0.5209	0.7237	0.6058	0.7961
No log	5.0	225	0.4692	0.6618	0.7041	0.6823	0.8644
No log	6.0	270	0.4469	0.6902	0.7552	0.7213	0.8776
No log	7.0	315	0.4761	0.6713	0.8123	0.7351	0.8745
No log	8.0	360	0.3956	0.7524	0.8063	0.7784	0.9055
No log	9.0	405	0.4272	0.7298	0.8332	0.7781	0.8976
No log	10.0	450	0.4285	0.7520	0.8577	0.8014	0.9096
No log	11.0	495	0.4022	0.7764	0.8693	0.8202	0.9147
0.4557	12.0	540	0.3584	0.8090	0.8640	0.8356	0.9287
0.4557	13.0	585	0.4022	0.8102	0.8733	0.8405	0.9253
0.4557	14.0	630	0.4149	0.8067	0.8902	0.8464	0.9268
0.4557	15.0	675	0.4160	0.8188	0.8919	0.8538	0.9290
0.4557	16.0	720	0.4015	0.8173	0.8932	0.8536	0.9302
0.4557	17.0	765	0.4084	0.8215	0.8945	0.8565	0.9309
0.4557	18.0	810	0.4133	0.8219	0.8955	0.8571	0.9307
0.4557	19.0	855	0.4131	0.8217	0.8955	0.8570	0.9310
0.4557	20.0	900	0.4130	0.8219	0.8955	0.8571	0.9310

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Apr 21, 2023
Updated: Apr 21, 2023